A Numerical Differentiation Method for Scattered Data and It ’ S Application
نویسندگان
چکیده
In this paper, we discuss a classical ill-posed problem– numerical differentiation by the Tikhonov regularization. Based on the conditional stability estimate for this ill-posed problem, a new simple method for choosing regularization parameters is proposed. We show that it has an almost optimal convergence rate when the exact solution is in H2. The advantages of our method are: 1. We can get a similar computational results with much less computation, in comparison with other methods; 2. We can find out the discontinuous points numerically.
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تاریخ انتشار 2002